Cagbot

Cagbot — CS2 Stats

IO76561199402075664[U:1:1441809936]Steam profile ↗✓ No bans

1,653Tracked matches71%Win rate2023Tracked since
CSDB Rating7.7 StrongClutch Specialist
Premier CS Rating26,103Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12738 of 259075 tracked
FaceitLevel 9 · 1,843 ELOTop 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,103 +308 27 Aug – 30 Oct · 20 days played
25,29526,260peak 26,26027 Aug30 Oct
Faceit ELO: 1,843 +0 30 Aug – 1 Oct · 4 observations
1,8431,843peak 1,84330 Aug1 Oct
26,373Peak Premier in tracked matches
1,843Highest Faceit ELO seen on CSDB
39Days played since 2026-08-25

Faceit ELO

  • At peak — 1,843
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 158 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 157 below peak (26,260)
  • +287 over 30 days · steady
  • Next: Gold band at 30,000 — 3,897 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-30
  • Pink band first seen 2026-08-30

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGCagbotFACEITLevel 9 · 1,843 ELOSTANDINGTop 20.7% of rankedPREMIER26,103 · Red band30 DAYS0 ELOPEAK ELO1,843csdb.gg/stats

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Performance scores

Aim86
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY60–35–5Last 10060%Win rateWLWTWLLLWL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −2.6pp headshot accuracy · +8ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 566ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 537ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 533ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim8.6
Utility5.4
Positioning6.0
Opening Duels3.6
Clutch7.2

Sharp aimerStrong CT-side openerReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 95% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.6
Positioning6.0
Utility5.4
Mechanics7.6
Opening Duels5.9
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time531ms−31ms
first ⅓ avg 562ms → last ⅓ avg 531ms
Headshot accuracy14.5%−5.5%
first ⅓ avg 20.0% → last ⅓ avg 14.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.22Best match rating · 9–1 · inferno, 5 Sept →
50%Best headshot accuracy · 4–2 · cache, 1 Oct →
406msFastest reaction time · 19–17 · nuke, 18 Oct →
13–0Biggest win · cache, 15 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
11–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 72% over 18ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2516–964%0.01
mirageS1813–572%0.02
cacheC125–742%0.02
nukeA116–555%0.00
infernoS107–370%0.06
ancientD82–625%0.01
anubisB63–350%-0.01
office—33–0100%0.02
train—32–167%0.05
vertigo—33–0100%0.10
overpass—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

169Matches
61%Win rate
1.24Avg K/D
84.8ADR
42%Headshot %

Clutches & streaks

56%1v1 clutch win
29%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4957%1.1915.8
Ancient2864%1.2015.7
Vertigo1958%1.3017.4
Anubis1867%1.1915.3
Dust21759%1.2315.7
Nuke1765%1.2918.5
Inferno1553%1.4116.2
Train250%0.7611.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
40.1%Accuracy (enemy spotted)
42.0%Spray accuracy
84.4%Counter-strafing
8.6°Preaim
523msReaction time
53.5%T opening success
54.0%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
5.57HE damage / grenade
13.64Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3989% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.038%30 Oct →
dust27–13-0.008%30 Oct →
mirage13–90.0221%26 Oct →
dust212–12-0.0110%26 Oct →
office13–90.0111%25 Oct →
nuke10–13-0.0414%25 Oct →
cache5–13-0.104%25 Oct →
mirage7–13-0.0330%25 Oct →
anubis13–11-0.067%25 Oct →
nuke14–160.0216%24 Oct →
dust213–70.0923%20 Oct →
ancient13–5-0.0017%20 Oct →
dust213–90.0414%20 Oct →
cache13–40.0917%19 Oct →
dust216–14-0.0311%19 Oct →
nuke19–170.0012%18 Oct →
dust214–160.0117%18 Oct →
mirage13–90.0413%18 Oct →
mirage13–80.0217%18 Oct →
nuke1–13-0.0214%18 Oct →
inferno13–30.1511%18 Oct →
mirage12–120.0323%15 Oct →
dust213–10-0.0020%15 Oct →
cache13–00.1418%15 Oct →
dust213–8-0.008%12 Oct →
mirage13–110.0313%12 Oct →
dust213–9-0.0125%11 Oct →
cache10–130.025%11 Oct →
cache13–60.0311%11 Oct →
nuke13–10.0014%11 Oct →
mirage13–30.068%11 Oct →
mirage7–13-0.0322%10 Oct →
dust213–4-0.0214%10 Oct →
mirage13–100.0028%10 Oct →
mirage9–13-0.0320%10 Oct →
inferno13–2-0.0613%10 Oct →
dust213–40.0110%9 Oct →
mirage13–5-0.0218%9 Oct →
train13–70.1029%9 Oct →
nuke13–3-0.0119%8 Oct →
dust213–40.1123%8 Oct →
train13–60.0312%7 Oct →
nuke13–100.1623%7 Oct →
office13–40.0022%6 Oct →
train12–120.0325%1 Oct →
dust213–7-0.0417%1 Oct →
cache4–20.1450%1 Oct →
dust25–130.0113%30 Sept →
nuke13–80.0417%25 Sept →
dust213–30.0619%22 Sept →
anubis7–13-0.017%20 Sept →
dust213–110.0313%19 Sept →
cache10–13-0.0217%19 Sept →
anubis12–12-0.035%19 Sept →
office13–110.0511%18 Sept →
inferno9–40.0623%18 Sept →
vertigo13–50.1713%15 Sept →
inferno14–160.0317%15 Sept →
dust29–130.0022%14 Sept →
inferno5–130.0713%13 Sept →
mirage13–80.1322%13 Sept →
mirage13–10-0.0414%12 Sept →
dust28–100.0110%11 Sept →
inferno13–11-0.0418%11 Sept →
ancient11–130.0613%11 Sept →
anubis8–130.0531%10 Sept →
dust26–13-0.0132%10 Sept →
cache13–40.0821%9 Sept →
dust213–110.0217%9 Sept →
ancient13–9-0.0119%9 Sept →
dust213–70.0525%8 Sept →
nuke13–11-0.0416%7 Sept →
dust213–60.0115%7 Sept →
dust213–110.0720%6 Sept →
nuke8–13-0.0529%6 Sept →
overpass12–120.0126%6 Sept →
nuke8–13-0.0233%6 Sept →
dust210–13-0.0327%5 Sept →
anubis13–30.0211%5 Sept →
ancient11–130.1013%5 Sept →
inferno9–10.2224%5 Sept →
cache10–130.0225%1 Sept →
ancient4–13-0.0214%1 Sept →
inferno9–130.0216%29 Aug →
vertigo13–70.0924%29 Aug →
ancient11–13-0.069%29 Aug →
dust26–13-0.0419%28 Aug →
inferno13–20.1130%28 Aug →
mirage13–80.0919%28 Aug →
anubis13–4-0.0117%28 Aug →
vertigo13–80.0416%28 Aug →
cache8–10-0.0636%28 Aug →
ancient3–130.0114%27 Aug →
cache5–13-0.0122%27 Aug →
inferno13–90.0014%27 Aug →
mirage13–20.0713%27 Aug →
cache3–13-0.0518%26 Aug →
mirage8–13-0.0326%26 Aug →
ancient10–130.0217%25 Aug →
mirage13–30.0114%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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